| Issue |
Sci. Tech. Energ. Transition
Volume 79, 2024
Decarbonizing Energy Systems: Smart Grid and Renewable Technologies
|
|
|---|---|---|
| Article Number | 25 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.2516/stet/2024017 | |
| Published online | 05 April 2024 | |
Regular Article
Economic dispatch of community-integrated energy system considering demand-side coordinated response
State Grid Beijing Electric Power Research Institute, Beijing 100075, PR China
* Corresponding author: 13856673123@163.com
Received:
24
November
2023
Accepted:
28
February
2024
There are a large number of potential schedulable resources in the integrated energy system of electricity, heat, cold, and gas. However, most of these energy sources are currently operated separately, with low system flexibility, low energy utilization rate, and serious abandonment of wind and solar energy. In order to improve the flexibility of integrated energy systems and the capacity of renewable energy consumption, an economic dispatch of community-integrated energy systems considering demand-side coordinated response is proposed. Firstly, according to various energy characteristics, mathematical models of various energy forms are established, including wind energy, photovoltaic, gas turbine, gas boiler, and other component characteristics modeling. Secondly, an economic optimal scheduling model of community-integrated energy system considering demand side response is established, including the constraints and objective functions of the optimization model, and the optimization model is solved based on the Yalmip toolbox and Cplex solver in Matlab software. Finally, the effectiveness of the proposed strategy is verified by a simulation example.
Key words: Integrated energy system / Demand-side coordinated response / Economic optimal scheduling model / Yalmip toolbox / Cplex solver
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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